Match

PRO Vercelli vs Latina: result 1-1 and analysis

Serie BRegular Season - 11Kick-off on October 25, 2016 at 06:30 PM (UTC)Stadio Silvio Piola, Vercelli

PRO Vercelli
1-1
Latina

Full time

What was the result of PRO Vercelli vs Latina?

PRO Vercelli and Latina drew 1-1 on October 25, 2016.

Goalscorers

  • 78′Osariemen Giulio EbaguaPRO Vercelli
  • 86′Giuliano RegolantiLatina

Official lineup for PRO Vercelli vs Latina

The starting elevens fielded at kick-off.

PRO Vercelli

3-5-2
  1. 9C. Morra
  2. 27Osariemen Giulio Ebagua
  1. 8A. Palazzi
  2. 25D. Altobelli
  3. 7M. Mustacchio
  4. 5Alessandro Budel
  5. 24S. Luperto
  1. 4M. Bani
  2. 33Carlo Mammarella
  3. 13E. Legati
  1. 1I. Provedel

Latina

3-5-2
  1. 10R. Boakye
  2. 35D. Paponi
  1. 29M. Rocca
  2. 30A. De Vitis
  3. 21Luca Di Matteo
  4. 8L. Scaglia
  5. 17MacDonald Mariga Wanyama
  1. 13M. Coppolaro
  2. 3M. Bruscagin
  3. 5P. Dellafiore
  1. 12C. Pinsoglio
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What is the recent form of both teams?

Over their last 12 matches in all competitions, PRO Vercelli have 4 wins, 3 draws and 5 defeats; Latina have 2, 6 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

PRO Vercelli
DateOpponentScoreCompetition
Oct 22, 2016Hellas Verona(away)0-3Serie B
Oct 16, 2016Novara(home)2-1Serie B
Oct 9, 2016Ternana(home)1-0Serie B
Oct 1, 2016Avellino(away)2-3Serie B
Sep 24, 2016Cesena(home)1-0Serie B
Latina
DateOpponentScoreCompetition
Oct 22, 2016Pisa(home)1-1Serie B
Oct 15, 2016Carpi(away)0-2Serie B
Oct 9, 2016Trapani(home)2-0Serie B
Oct 2, 2016Cesena(away)2-2Serie B
Sep 24, 2016Ternana(home)1-1Serie B

How many goals should we expect?

PRO Vercelli score 1.3 and concede 1.8 goals per match over their last 12; Latina score 1.0 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PRO Vercelli1.31.829/127/12
Latina1.01.337/124/12

Over the last 12 matches in all competitions.

A question about PRO Vercelli vs Latina?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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